← DeepSeek Harness Plugins
DeepSeek Harness PluginManifest Valid

dsh-memoir

Local-first cross-session project memory plugin for DeepSeek Harness with BM25 recall and bounded Hot Memory injection.

UI & ProductivityTerminal & TUIDeveloper Tools
33GitHub Stars3ForksUpdated2026-09-30

Install

$ dsh plugin --profile web add [email protected]

Plugin Overview & Capabilities

AI-assisted organization based on the public repository snapshot. The content must be grounded in source evidence and does not replace compatibility or security verification.

source-grounded
dsh-memoir provides local-first cross-session project memory for DeepSeek Harness without requiring external services or embeddings. It records confirmed decisions, lessons, and actions to disk, selectively injects bounded, cache-friendly Hot Memory into system prompts, and enables BM25 keyword recall across sessions and projects.

Key Capabilities

  • Local-first structured JSON storage and PROJECT_MEMORY.md markdown projection without external cloud dependencies or embeddings
  • Bounded Hot Memory system prompt injection constrained by strict token budgets and frozen session prefixes for prompt cache efficiency
  • Local BM25 lexical ranking and LRU query caching for multi-language and code-identifier search
  • Agent tool suite comprising memoir_record, memoir_update, and memoir_read with duplicate and conflict governance
  • Observable automatic distillation reminders on completed work turns with configurable frequency and thresholds
  • Native DSH Web GUI integration featuring memory browsing, editing, diagnostics, and independent agent language settings

Useful For

  • Preserving architectural decisions, lessons, and next steps across consecutive DeepSeek Harness agent sessions
  • Maintaining bounded prompt token usage while retrieving long-tail project context on demand
  • Managing and auditing project memory lifecycles through interactive Web UI and local Markdown projections

Who It Fits

  • Developers utilizing DeepSeek Harness for multi-turn and cross-session software engineering workflows
  • Users needing strictly local, zero-external-service memory management for AI coding agents

Documented Limitations

  • Requires DeepSeek Harness >=0.2.0-rc.1 <0.3.0-0 and Node.js ^22.19.0 || >=24.0.0
  • Relies on lexical BM25 token matching rather than vector semantic embedding search
  • Hot Memory updates freeze during active sessions to preserve KV cache and take effect in subsequent sessions

DSH Compatibility

Version-specific runtime evidence collected by DSH Plugin. A missing result means we have not tested that combination yet.

Not tested yetNo runtime compatibility tests have been published yet.

Security Signals

Objective signals discovered from package metadata and source inspection. These are not a guarantee that a plugin is safe.

Dependency Counts

package.json declares 0 runtime, 32 development, 3 peer, and 0 optional dependencies.

info
Dsh Bundle Declared

package.json declares DSH bundle metadata.

info
License Declared

GitHub reports the repository license as Apache-2.0.

info
Package Manifest Available

A root package.json was captured and can be inspected by the registry.

info
Source Available

Public GitHub source metadata is available for this registry snapshot.

info

Source & Registry Notes

Public provenance, Registry classification, and the latest source check for this entry, kept separate from runtime verification.

Source repository
Qinling-Melon-Farmers/dsh-memoir
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin
Source checked
00a64f2 · 2026-10-04

This project is independently indexed from public source information. DSH Plugin is not affiliated with DeepSeek or the plugin author. Always check the author repository before installation.

Repository Activity

GitHub stars
33GitHub stars
Forks
3
Open issues
2
Last commit
2026-09-30
Last release
2026-09-30
For maintainers

Maintaining this plugin?

This listing is generated from public repository data. If you maintain this project, you can review the information and share this listing with your users if you find it useful.

Add to README
Listed on DSHPlugin.app